In this paper we present our current work on an embodied conversational agent for training medical bad news conversations and discuss the inspiration gained from previous work of o...
Several papers ([Appe189],[Goldberg9 1]) have recently claimed that garbage collection can be performed on untagged data in the presence of ML-style type polymorphism. They rely o...
We report here empirical results of a series of studies aimed at automatically predicting information quality in news documents. Multiple research methods and data analysis techni...
Rong Tang, Kwong Bor Ng, Tomek Strzalkowski, Paul ...
The computer industry has a problem. As Moore's law marches on, we will be exploiting it to double cores, not frequencies. But all those cores ... 2 to 4 today growing to 8, ...
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...